metadata
license: llama2
library_name: peft
tags:
- generated_from_trainer
base_model: codellama/CodeLlama-13b-hf
model-index:
- name: codellama13B-noautogen-StaproCoder
results: []
codellama13B-noautogen-StaproCoder
This model is a fine-tuned version of codellama/CodeLlama-13b-hf on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.3758
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 0.0005
- train_batch_size: 6
- eval_batch_size: 6
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 24
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 2000
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.417 | 0.05 | 100 | 0.5468 |
| 0.5187 | 0.1 | 200 | 0.4993 |
| 0.3279 | 0.15 | 300 | 0.4787 |
| 0.452 | 0.2 | 400 | 0.4551 |
| 0.4738 | 0.25 | 500 | 0.4402 |
| 0.4338 | 0.3 | 600 | 0.4263 |
| 0.4024 | 0.35 | 700 | 0.4183 |
| 0.4268 | 0.4 | 800 | 0.4082 |
| 0.3572 | 0.45 | 900 | 0.4014 |
| 0.3584 | 0.5 | 1000 | 0.3967 |
| 0.359 | 0.55 | 1100 | 0.3913 |
| 0.3023 | 0.6 | 1200 | 0.3865 |
| 0.2707 | 0.65 | 1300 | 0.3820 |
| 0.2918 | 0.7 | 1400 | 0.3790 |
| 0.3188 | 0.75 | 1500 | 0.3757 |
| 0.167 | 0.8 | 1600 | 0.3741 |
| 0.2962 | 0.85 | 1700 | 0.3742 |
| 0.2603 | 0.9 | 1800 | 0.3747 |
| 0.2544 | 0.95 | 1900 | 0.3755 |
| 0.254 | 1.0 | 2000 | 0.3758 |
Framework versions
- PEFT 0.9.0
- Transformers 4.39.0.dev0
- Pytorch 2.2.1+cu121
- Datasets 2.17.1
- Tokenizers 0.15.2